Introduction
These are prliminary regressions that compare bluefish catch, abundance, recruitment, and F to various indicators.
Regression analysis
Trends with time
Regression statistics
Catch vs Time
| (Intercept) |
1812634.60 |
402618.02 |
4.50 |
0 |
| Val |
-889.38 |
201.16 |
-4.42 |
0 |
|
| F-statistic |
19.55 |
| df |
1, 32 |
| R2 |
0.38 |
| R2-adj |
0.36 |
|
Fmort vs Time
| (Intercept) |
12.73 |
2.78 |
4.57 |
0 |
| Val |
-0.01 |
0.00 |
-4.45 |
0 |
|
| F-statistic |
19.78 |
| df |
1, 32 |
| R2 |
0.38 |
| R2-adj |
0.36 |
|
Physical indicators
Cold pool index
Regression statistics
[1] “No statistically significant results”
Warm core rings
Regression statistics
Fmort vs Warm Core Rings n
| (Intercept) |
0.51 |
0.05 |
10.49 |
0 |
| Val |
-0.01 |
0.00 |
-3.47 |
0 |
|
| F-statistic |
12.06 |
| df |
1, 32 |
| R2 |
0.27 |
| R2-adj |
0.25 |
|
Marine heatwave index
Regression statistics
Recruitment vs cumulative intensity degrees C
| (Intercept) |
52315.63 |
3391.65 |
15.42 |
0.00 |
| Val |
-42.06 |
19.35 |
-2.17 |
0.04 |
|
| F-statistic |
4.73 |
| df |
1, 28 |
| R2 |
0.14 |
| R2-adj |
0.11 |
|
Recruitment vs maximum intensity degrees C
| (Intercept) |
84882.20 |
17174.51 |
4.94 |
0.00 |
| Val |
-16430.84 |
7433.42 |
-2.21 |
0.04 |
|
| F-statistic |
4.89 |
| df |
1, 28 |
| R2 |
0.15 |
| R2-adj |
0.12 |
|
GLORYS bottom temperature
Regression statistics
[1] “No statistically significant results”
Long-term sea surface temperature
Regression statistics
[1] “No statistically significant results”
Sea surface temperature anomaly
Regression statistics
[1] “No statistically significant results”
Spring offshore bottom temperature
Bluefish are typically found offshore in the spring.
Fall onshore bottom temperature
Bluefish are typically found onshore in the fall.
Stratification
Regression statistics
[1] “No statistically significant results”
Winter wind speed
Regression statistics
Fmort vs tke winter J/kg
| (Intercept) |
0.79 |
0.14 |
5.65 |
0 |
| Val |
-0.62 |
0.20 |
-3.17 |
0 |
|
| F-statistic |
10.04 |
| df |
1, 32 |
| R2 |
0.24 |
| R2-adj |
0.21 |
|
Abundance vs total wind speed winter J/kg
| (Intercept) |
45313.88 |
22718.38 |
1.99 |
0.05 |
| Val |
19019.50 |
7099.74 |
2.68 |
0.01 |
|
| F-statistic |
7.18 |
| df |
1, 32 |
| R2 |
0.18 |
| R2-adj |
0.16 |
|
Spring wind speed
Regression statistics
Fmort vs tke spring J/kg
| (Intercept) |
0.70 |
0.17 |
4.10 |
0.00 |
| Val |
-1.02 |
0.50 |
-2.06 |
0.05 |
|
| F-statistic |
4.23 |
| df |
1, 32 |
| R2 |
0.12 |
| R2-adj |
0.09 |
|
Summer wind speed
Regression statistics
Catch vs hcly summer m2/sec2
| (Intercept) |
-22273.90 |
22809.43 |
-0.98 |
0.34 |
| Val |
786.09 |
325.46 |
2.42 |
0.02 |
|
| F-statistic |
5.83 |
| df |
1, 32 |
| R2 |
0.15 |
| R2-adj |
0.13 |
|
Catch vs tke summer J/kg
| (Intercept) |
107151.5 |
26995.45 |
3.97 |
0.00 |
| Val |
-254762.9 |
91851.25 |
-2.77 |
0.01 |
|
| F-statistic |
7.69 |
| df |
1, 32 |
| R2 |
0.19 |
| R2-adj |
0.17 |
|
Catch vs total wind speed summer J/kg
| (Intercept) |
50583.43 |
6758.57 |
7.48 |
0.00 |
| Val |
-11754.86 |
4153.25 |
-2.83 |
0.01 |
|
| F-statistic |
8.01 |
| df |
1, 32 |
| R2 |
0.2 |
| R2-adj |
0.18 |
|
Fmort vs hcly summer m2/sec2
| (Intercept) |
-0.10 |
0.15 |
-0.65 |
0.52 |
| Val |
0.01 |
0.00 |
2.97 |
0.01 |
|
| F-statistic |
8.84 |
| df |
1, 32 |
| R2 |
0.22 |
| R2-adj |
0.19 |
|
Fmort vs tke summer J/kg
| (Intercept) |
0.93 |
0.18 |
5.09 |
0 |
| Val |
-1.96 |
0.62 |
-3.18 |
0 |
|
| F-statistic |
10.08 |
| df |
1, 32 |
| R2 |
0.24 |
| R2-adj |
0.22 |
|
Fmort vs total wind speed summer J/kg
| (Intercept) |
0.46 |
0.05 |
9.55 |
0.00 |
| Val |
-0.07 |
0.03 |
-2.41 |
0.02 |
|
| F-statistic |
5.81 |
| df |
1, 32 |
| R2 |
0.15 |
| R2-adj |
0.13 |
|
Fall wind speed
Regression statistics
Recruitment vs vwnd fall J/kg
| (Intercept) |
57747.24 |
6055.71 |
9.54 |
0.00 |
| Val |
8618.42 |
4186.19 |
2.06 |
0.05 |
|
| F-statistic |
4.24 |
| df |
1, 31 |
| R2 |
0.12 |
| R2-adj |
0.09 |
|
Gulf Stream Index
Regression statistics
Catch vs gulf stream index latitude anomaly
| (Intercept) |
26378.28 |
826.75 |
31.91 |
0 |
| Val |
-4143.45 |
1165.85 |
-3.55 |
0 |
|
| F-statistic |
12.63 |
| df |
1, 24 |
| R2 |
0.34 |
| R2-adj |
0.32 |
|
Abundance vs gulf stream index latitude anomaly
| (Intercept) |
101326.00 |
3012.08 |
33.64 |
0.00 |
| Val |
-10612.06 |
4247.52 |
-2.50 |
0.02 |
|
| F-statistic |
6.24 |
| df |
1, 24 |
| R2 |
0.21 |
| R2-adj |
0.17 |
|
North Atlantic Oscillation
Regression statistics
Abundance vs north atlantic oscillation unitless
| (Intercept) |
108751.36 |
4425.43 |
24.57 |
0.00 |
| Val |
-3833.18 |
1853.57 |
-2.07 |
0.05 |
|
| F-statistic |
4.28 |
| df |
1, 32 |
| R2 |
0.12 |
| R2-adj |
0.09 |
|
Chlorophyll
Regression statistics
[1] “No statistically significant results”
Trophic indicators
Spring zooplankton abundance by species
Regression statistics
Catch vs centropages zoo spring log N m^-3
| (Intercept) |
135087.98 |
42994.83 |
3.14 |
0.00 |
| Val |
-24919.68 |
10482.53 |
-2.38 |
0.03 |
|
| F-statistic |
5.65 |
| df |
1, 26 |
| R2 |
0.18 |
| R2-adj |
0.15 |
|
Catch vs temora zoo spring log N m^-3
| (Intercept) |
49100.27 |
7892.33 |
6.22 |
0.00 |
| Val |
-7310.29 |
3392.88 |
-2.15 |
0.04 |
|
| F-statistic |
4.64 |
| df |
1, 26 |
| R2 |
0.15 |
| R2-adj |
0.12 |
|
Fmort vs centropages zoo spring log N m^-3
| (Intercept) |
0.89 |
0.25 |
3.50 |
0.00 |
| Val |
-0.13 |
0.06 |
-2.15 |
0.04 |
|
| F-statistic |
4.6 |
| df |
1, 26 |
| R2 |
0.15 |
| R2-adj |
0.12 |
|
Abundance vs temora zoo spring log N m^-3
| (Intercept) |
141683.71 |
13312.73 |
10.64 |
0.00 |
| Val |
-14869.74 |
5723.09 |
-2.60 |
0.02 |
|
| F-statistic |
6.75 |
| df |
1, 26 |
| R2 |
0.21 |
| R2-adj |
0.18 |
|
Fall zooplankton abundance by species
Regression statistics
Fmort vs pseudocalanus zoo fall log N m^-3
| (Intercept) |
0.25 |
0.03 |
9.01 |
0 |
| Val |
0.07 |
0.02 |
3.71 |
0 |
|
| F-statistic |
13.77 |
| df |
1, 28 |
| R2 |
0.33 |
| R2-adj |
0.31 |
|
Zooplankton abundance by group
Regression statistics
Catch vs Euphausiacea Absolute Number of Individuals
| (Intercept) |
41295.74 |
4445.28 |
9.29 |
0.00 |
| Val |
0.00 |
0.00 |
-2.31 |
0.03 |
|
| F-statistic |
5.33 |
| df |
1, 32 |
| R2 |
0.14 |
| R2-adj |
0.12 |
|
Fmort vs SmallCalanoida Absolute Number of Individuals
| (Intercept) |
0.29 |
0.03 |
8.86 |
0.00 |
| Val |
0.00 |
0.00 |
2.06 |
0.05 |
|
| F-statistic |
4.26 |
| df |
1, 32 |
| R2 |
0.12 |
| R2-adj |
0.09 |
|
Abundance vs Euphausiacea Absolute Number of Individuals
| (Intercept) |
122223.5 |
7570.34 |
16.15 |
0.00 |
| Val |
0.0 |
0.00 |
-2.63 |
0.01 |
|
| F-statistic |
6.9 |
| df |
1, 32 |
| R2 |
0.18 |
| R2-adj |
0.15 |
|
Abundance vs SmallCalanoida Absolute Number of Individuals
| (Intercept) |
129372.4 |
7291.97 |
17.74 |
0 |
| Val |
0.0 |
0.00 |
-3.81 |
0 |
|
| F-statistic |
14.5 |
| df |
1, 32 |
| R2 |
0.31 |
| R2-adj |
0.29 |
|
Abundance of Calanus CV and adults
Regression statistics
Abundance vs Calanus CV and adult
| (Intercept) |
88057.70 |
7550.32 |
11.66 |
0.00 |
| Val |
1.04 |
0.38 |
2.75 |
0.01 |
|
| F-statistic |
7.58 |
| df |
1, 31 |
| R2 |
0.2 |
| R2-adj |
0.17 |
|
Zooplankton abundance anomaly
Regression statistics
Fmort vs small Abundance anomaly unitless
| (Intercept) |
0.35 |
0.02 |
21.80 |
0.00 |
| Val |
0.11 |
0.05 |
2.22 |
0.03 |
|
| F-statistic |
4.93 |
| df |
1, 32 |
| R2 |
0.13 |
| R2-adj |
0.11 |
|
Abundance vs small Abundance anomaly unitless
| (Intercept) |
104623.70 |
4103.24 |
25.50 |
0.00 |
| Val |
-25087.12 |
12187.37 |
-2.06 |
0.05 |
|
| F-statistic |
4.24 |
| df |
1, 32 |
| R2 |
0.12 |
| R2-adj |
0.09 |
|
Zooplankton diversity index
Regression statistics
Fmort vs Zoo_Shannon-Wiener_Diversity_index Unitless
| (Intercept) |
0.74 |
0.14 |
5.27 |
0.00 |
| Val |
-0.16 |
0.06 |
-2.80 |
0.01 |
|
| F-statistic |
7.81 |
| df |
1, 32 |
| R2 |
0.2 |
| R2-adj |
0.17 |
|
Small/large copepod anomaly
Regression statistics
Abundance vs Sm-Lg copepod anom Abundance anomaly unitless
| (Intercept) |
105639.1 |
3857.85 |
27.38 |
0.00 |
| Val |
-21094.0 |
7106.17 |
-2.97 |
0.01 |
|
| F-statistic |
8.81 |
| df |
1, 32 |
| R2 |
0.22 |
| R2-adj |
0.19 |
|
Spring ichthyoplankton diversity
Regression statistics
Fmort vs Number_Of_Species_Caught Unitless
| (Intercept) |
0.07 |
0.04 |
1.65 |
0.14 |
| Val |
0.01 |
0.00 |
5.06 |
0.00 |
|
| F-statistic |
25.56 |
| df |
1, 8 |
| R2 |
0.76 |
| R2-adj |
0.73 |
|
Fall ichthyoplankton diversity
Regression statistics
[1] “No statistically significant results”
Forage fish abundance
Regression statistics
Catch vs Forage_Lower
| (Intercept) |
25921.79 |
1388.95 |
18.66 |
0.00 |
| Val |
-6375.72 |
2958.52 |
-2.16 |
0.05 |
|
| F-statistic |
4.64 |
| df |
1, 17 |
| R2 |
0.21 |
| R2-adj |
0.17 |
|
Catch vs Forage_Mean
| (Intercept) |
27454.46 |
1141.77 |
24.05 |
0.00 |
| Val |
-6821.80 |
2881.81 |
-2.37 |
0.03 |
|
| F-statistic |
5.6 |
| df |
1, 17 |
| R2 |
0.25 |
| R2-adj |
0.2 |
|
Catch vs Forage_Upper
| (Intercept) |
29167.23 |
1285.33 |
22.69 |
0.00 |
| Val |
-7113.19 |
2782.99 |
-2.56 |
0.02 |
|
| F-statistic |
6.53 |
| df |
1, 17 |
| R2 |
0.28 |
| R2-adj |
0.24 |
|
Abundance vs Forage_Upper
| (Intercept) |
112357.21 |
3142.75 |
35.75 |
0.00 |
| Val |
-14739.45 |
6804.69 |
-2.17 |
0.04 |
|
| F-statistic |
4.69 |
| df |
1, 17 |
| R2 |
0.22 |
| R2-adj |
0.17 |
|
Species distribution
Regression statistics
Catch vs along-shelf distance km
| (Intercept) |
286566.45 |
73110.2 |
3.92 |
0 |
| Val |
-301.72 |
86.8 |
-3.48 |
0 |
|
| F-statistic |
12.08 |
| df |
1, 32 |
| R2 |
0.27 |
| R2-adj |
0.25 |
|
Catch vs Latitude degreesN
| (Intercept) |
1748889.20 |
512764.27 |
3.41 |
0 |
| Val |
-42323.45 |
12644.11 |
-3.35 |
0 |
|
| F-statistic |
11.2 |
| df |
1, 32 |
| R2 |
0.26 |
| R2-adj |
0.24 |
|
Catch vs Longitude degreesW
| (Intercept) |
-2650990.32 |
793028.25 |
-3.34 |
0 |
| Val |
-38010.96 |
11232.85 |
-3.38 |
0 |
|
| F-statistic |
11.45 |
| df |
1, 32 |
| R2 |
0.26 |
| R2-adj |
0.24 |
|
Fmort vs along-shelf distance km
| (Intercept) |
1.87 |
0.53 |
3.52 |
0.00 |
| Val |
0.00 |
0.00 |
-2.86 |
0.01 |
|
| F-statistic |
8.18 |
| df |
1, 32 |
| R2 |
0.2 |
| R2-adj |
0.18 |
|
Fmort vs Latitude degreesN
| (Intercept) |
9.59 |
3.79 |
2.53 |
0.02 |
| Val |
-0.23 |
0.09 |
-2.44 |
0.02 |
|
| F-statistic |
5.94 |
| df |
1, 32 |
| R2 |
0.16 |
| R2-adj |
0.13 |
|
Fmort vs Longitude degreesW
| (Intercept) |
-17.47 |
5.58 |
-3.13 |
0 |
| Val |
-0.25 |
0.08 |
-3.20 |
0 |
|
| F-statistic |
10.21 |
| df |
1, 32 |
| R2 |
0.24 |
| R2-adj |
0.22 |
|
Larvae and YOY indicators
Recruitment
Regression statistics
Recruitment vs Recruitment
| (Intercept) |
0 |
0 |
6.180000e+00 |
0 |
| Val |
1 |
0 |
9.942338e+15 |
0 |
|
| F-statistic |
9.88500805510043e+31 |
| df |
1, 32 |
| R2 |
1 |
| R2-adj |
1 |
|
Larval growth
Juvenile indicators
Length-age curves
Condition
CPUE
Adult indicators
Size of spawning stock
Regression statistics
Catch vs Abundance
| (Intercept) |
-6959.50 |
8331.64 |
-0.84 |
0.41 |
| Val |
0.38 |
0.08 |
4.87 |
0.00 |
|
| F-statistic |
23.7 |
| df |
1, 32 |
| R2 |
0.43 |
| R2-adj |
0.41 |
|
Abundance vs Abundance
| (Intercept) |
0 |
0 |
-1.288000e+01 |
0 |
| Val |
1 |
0 |
6.975294e+16 |
0 |
|
| F-statistic |
4.86547320610076e+33 |
| df |
1, 32 |
| R2 |
1 |
| R2-adj |
1 |
|
Mean age of spawning stock
Age distribution
Length-age curves
Condition
Regression statistics
[1] “No statistically significant results”
Stomach fullness
Regression statistics
[1] “No statistically significant results”
Center of gravity and area occupied
Socioeconomic indicators
CPUE by catch strategy